A comparison of Pattern Recognition Approaches for Recognizing Handwriting in Arabic Letters

Aisha Douma,Abdussalam Ali Ahmed,Gökhan Şengül,Johnson Santhosh,Omer.S. M. Jomah, Fathia G. Ibrahim Salem

2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA（2021）

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摘要

For Arabic letters recognition, we achieve three of pattern recognition approaches namely gray level co-occurrence matrix (GLCM), local binary pattern recognition (LBP) and artificial neural network (ANN) and compare between them to result best performance. Two of these methods level co-occurrence matrix and local binary pattern recognition are used for feature extraction whereas in artificial neu...

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关键词

Training,Handwriting recognition,Conferences,Artificial neural networks,Feature extraction,Pattern recognition,Classification algorithms

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